Includes bibliographical references.

Graph matching techniques for computer vision / Mario Vento, Pasquale Foggia -- Geometric-edge random graph model for image representation / Jiang Bo, Tang Jing, Luo Bin -- The node-to-node graph matching algorithm schema / Guoxing Zhao, Jixin Ma -- Unsupervised and supervised image segmentation using graph partitioning / Charles-Edmond Bichot -- Motion segmentation and matting by graph cut / Jiangjian Xiao -- Hypergraph based visual segmentation and retrieval / Yuchi Huang -- Recent advances on graph-based image segmentation techniques / Chao Zeng ... [et al.] -- Graph embedding using dissimilarities with applications in classification / Horst Bunke, Kaspar Riesen -- Generative group activity analysis with quaternion descriptor / Guangyu Zhu ... [et al.] -- Shape retrieval and classification based on geodesic paths in skeleton graphs / Xiang Bai ... [et al.] -- Discriminative feature selection in image classification and retrieval / Shang Liu, Xiao Bai -- Normalized projection and graph embedding via angular decomposition / Dengdi Sun ... [et al.] -- Region-based graph learning towards large scale image annotation / Bao Bing-Kun, Yan Shuicheng -- Copy detection using graphical model: HMM for frame fusion / Shikui Wei, Yao Zhao, Zhenfeng Zhu -- Multi-scale exemplary based image super-resolution with graph generalization / Wang Jinjun -- Graph heat kernel based image smoothing / Zhang Fan, Edwin Hancock, Liu Shang.

Restricted to subscribers or individual electronic text purchasers.

"This book addresses problems related to applying graph-based methods in computer vision, including accounts of the latest developments in graph-based methodology and its application to a variety of problems in computer vision such as image segmentation, image matching and classification where graph-based methods play a vital role"--Provided by publisher.

Also available in print.

Mode of access: World Wide Web.

Description based on title screen (IGI Global, viewed July 18, 2012).